Reading Times across Sentences, Texts, and Persons: An Integrated Methodological Approach

EasyChair Preprint 3816

Abstract

We present an integrated model of individual growth (multilevel SEM) to examine 10,701 reading times from 20 to 24 sentences each in four texts read by 123 college students. We evaluate the extent to which reading times indicate a single cognitive process, common across texts, versus distinct trends which suggest texts invoke different, distinctive cognitive processes. Findings suggest interesting commonalities as well as distinct features of sentence, text, and person-level features.

Keyphrases: Multilevel, SEM, reading time

@booklet{EasyChair:3816,
  author    = {Lee Branum-Martin and Joseph Magliano},
  title     = {Reading Times across Sentences, Texts, and Persons: An Integrated Methodological Approach},
  howpublished = {EasyChair Preprint 3816},
  year      = {EasyChair, 2020}}